Detecting Cyber Attacks in Smart Grids Using Semi-Supervised Anomaly Detection and Deep Representation Learning. - Ruobin Qi; Craig Rasband; Jun Zheng 003; Raul Longoria (Inf., 2021)

ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data. - Zhirui Luo; Ruobin Qi; Qingqing Li; Jun Zheng 003; Sihua Shao (SmartCom, 2022)

A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters. - Ruobin Qi; Jun Zheng 003; Zhirui Luo; Qingqing Li (IEEE Trans. Instrum. Meas., 2022)

DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition. - Qingqing Li; Zhirui Luo; Ruobin Qi; Jun Zheng 003 (IEEE Access, 2023)

Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection. - Qingqing Li; Zhirui Luo; Ruobin Qi; Jun Zheng 003 (IEEE Trans. Instrum. Meas., 2024)

A Model-Agnostic Approach to Reveal Detection Basis and Occurrence Time of Electricity Theft. - Wenlong Liao; Shuyang Zhu; Leijiao Ge; Takayuki Ishizaki; Ruobin Qi; Yue Yang; Zhe Yang 007 (IEEE Trans. Instrum. Meas., 2025)